面向移动端可视化建模研发的管控数据采集研究  

Research on Management and Control Data Acquisition for Mobile Visual Modeling Research and Development

作　　者：武峰波 马杰 曹青 WU Fengbo;MA Jie;CAO Qing(China Southern Power Grid Digital Power Grid Research Institute Co.,Ltd.,Guangzhou 510663,China)

机构地区：[1]南方电网数字电网研究院有限责任公司,广东广州510663

出　　处：《自动化仪表》2024年第8期80-84,共5页Process Automation Instrumentation

基　　金：广东省科技基金资助项目(202000650002)。

摘　　要：在智能电网的建设过程中,因移动端可视化建模研发平台中管控数据属性较多、体量较大,导致管控数据分类精度和采集效率较低。为此,提出面向移动端可视化建模研发的管控数据采集方法。设定移动端可视化建模研发平台管控数据集合,根据管控数据之间的相关性对数据进行降维处理。通过值差度量(VDM)和Minkowski方法,度量管控数据分类属性与数值属性距离。构建闵可夫斯基距离-径向基函数-极限学习机(MD-RBF-ELM)模型,以获取管控数据分类操作结果。制定每个类别管控数据采集信令,并合成处理采集信令。通过并行模式,实现了移动端可视化建模研发平台管控数据的高效采集。试验结果表明:所提方法的管控数据分类操作更加精准,管控数据采集效率达到了90%。该方法具有较好的管控数据采集效果。In the construction process of smart grid,due to the more attributes and larger volume of management and control data in the mobile visual modeling research and development platform,the classification accuracy and collection efficiency of management and control data are low.For this reason,a management and control data acquisition method for mobile visual modeling research and development is proposed.The collection of management and control data for mobile visual modeling research and development platform is set,and the data is downgraded according to the correlation between the management and control data.The distance between categorized attributes and numerical attributes of the management and control data is measured through the value difference metric(VDM)and Minkowski method.The Minkowski distance-radial basis function-extreme learning machine(MD-RBF-ELM)model is constructed to obtain the results of the categorization operation of the management and control data.Formulate each category of management and control data acquisition signal and synthesize and process the acquisition signal.Through the parallel mode,the efficient collection of management and control data from the mobile visual modeling research and development platform is realized.The experimental results show that the management and control data categorization operation of the proposed method is more accurate,and the management and control data collection efficiency reaches 90%.The method has better management and control data collection effect.

关 键 词：管控数据采集 可视化建模 智能电网 移动端 混合属性 

分 类 号：TH-39[机械工程]